
Beginning in 1946 and 1947, some Bedouin shepherds accidentally (or providentially) discovered what has become known as perhaps the most important collection of ancient documents ever found. Known as the Dead Sea Scrolls, more were discovered in the Qumran caves near the Dead Sea until 1956. Researchers are now using AI to study the Dead Sea scrolls.
For Bible scholars, the significance of these documents lies in their confirmation of the accuracy of the transmission of many Old Testament books. Of 15,000 scrolls and fragments dating from the third to the first centuries BC, 40% contain Hebrew scriptures. The most complete Old Testament book is Isaiah, the messianic prophet who predicted much about Jesus Christ seven centuries before His birth.
These scrolls have been studied using paleography (the study of letter shapes), radiocarbon dating, and even DNA analysis of the animal skins on which they’re written. Now, researchers are using AI to study the Dead Sea Scrolls. They named their AI model “Enoch” after the Old Testament figure who didn’t die. (See Genesis 5:21-24 and Hebrews 11:5.)
To train Enoch, researchers used radiocarbon data from other scrolls found in various locations in the Judean Desert. They also instructed the model to analyze the distinctive styles of the characters, cross-referenced with other scrolls. Using this AI method, they examined over 130 scrolls and found that almost all of them were even older than previously estimated.
The bottom line is that these ancient scrolls containing Old Testament texts align closely with the text in our Bibles today. This demonstrates that the Bible has been reliably copied and transmitted over thousands of years. The Bible text today can be trusted to reflect the original writings. Although using AI to study the Dead Sea Scrolls is still in the early stages, it is providing us with a clearer understanding of how and when these documents were produced.
— Roland Earnst © 2026
Reference: Biblical Archaeology Review, Spring 2026, page 10, and Wikipedia.org









